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Video Recognition

Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.

Papers

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Showing 176–200 of 307 papers

TitleStatusHype
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks—0
TEINet: Towards an Efficient Architecture for Video Recognition—0
Improving Video Model Transfer With Dynamic Representation Learning—0
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition—0
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition—0
Interactive Prototype Learning for Egocentric Action Recognition—0
Inter-frame Accelerate Attack against Video Interpolation Models—0
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition—0
Is an Object-Centric Video Representation Beneficial for Transfer?—0
VidHarm: A Clip Based Dataset for Harmful Content Detection—0
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs—0
Large-scale Video Classification guided by Batch Normalized LSTM Translator—0
Large-vocabulary Audio-visual Speech Recognition in Noisy Environments—0
Contrastive Video Representation Learning via Adversarial Perturbations—0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
Learning Effective RGB-D Representations for Scene Recognition—0
Learning Efficient Video Representation with Video Shuffle Networks—0
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition—0
Temporal Saliency Query Network for Efficient Video Recognition—0
Leveraging LLMs with Iterative Loop Structure for Enhanced Social Intelligence in Video Question Answering—0
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition—0
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model—0
Scheduled Differentiable Architecture Search for Visual Recognition—0
Temporal superimposed crossover module for effective continuous sign language—0
Coverage Guided Testing for Recurrent Neural Networks—0
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